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Regression analysis of longitudinal data in the presence of informative observation and censoring times
Sun, Jianguo1; Sun, Liuquan2; Liu, Dandan3
2007-12-01
Source PublicationJOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
ISSN0162-1459
Volume102Issue:480Pages:1397-1406
Abstract` Longitudinal data frequently occur in many studies, such as longitudinal follow-up studies. To develop statistical methods and theory for the analysis of these data, independent or noninformative observation and censoring times are typically assumed, which naturally leads to inference procedures conditional on observation and censoring times. But in many situations this may not be true or realistic; that is, longitudinal responses may be correlated with observation times as well as censoring times. This article considers the analysis of longitudinal data where these correlations may exist and proposes a joint modeling approach that uses some latent variables to characterize the correlations. For inference about regression parameters, estimating equation approaches are developed and both large-sample and final-sample properties of the proposed estimators are established. In addition, some graphical and numerical procedures are presented for model checking. The methodology is applied to a bladder cancer study that motivated this investigation.
Keywordestimating equation informative observation process joint modeling latent variables
DOI10.1198/016214507000000851
Language英语
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000251829200033
PublisherAMER STATISTICAL ASSOC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/5220
Collection应用数学研究所
Corresponding AuthorSun, Jianguo
Affiliation1.Univ Missouri, Dept Stat, Columbia, MO 65211 USA
2.Chinese Acad Sci, Inst Appl Math, Beijing, Peoples R China
3.Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA
Recommended Citation
GB/T 7714
Sun, Jianguo,Sun, Liuquan,Liu, Dandan. Regression analysis of longitudinal data in the presence of informative observation and censoring times[J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,2007,102(480):1397-1406.
APA Sun, Jianguo,Sun, Liuquan,&Liu, Dandan.(2007).Regression analysis of longitudinal data in the presence of informative observation and censoring times.JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION,102(480),1397-1406.
MLA Sun, Jianguo,et al."Regression analysis of longitudinal data in the presence of informative observation and censoring times".JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 102.480(2007):1397-1406.
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